Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer for a banking platform supporting Fund Administration

Description

Design and implement data processing pipelines for a banking platform, including data transformation, validation, and mapping, and synchronize data across multiple systems. Build and maintain integrations between internal, vendor-hosted, and third-party sources and destinations using APIs, SQL databases, S3, and SFTP. Ensure reliable delivery through testing, validation, and post-deployment troubleshooting.

Responsibilities

• Design and implement data processing pipelines (transformation, validation, mapping)

• Build and maintain integrations between data sources/destinations (APIs, SQL databases, S3, SFTP)

• Develop and modify ETL workflows and data flows

• Process and synchronize data across systems and formats

• Perform testing and validation for data accuracy and integrity

• Provide post-deployment support and troubleshoot data integration issues

• Collaborate with business stakeholders to gather requirements and support production processes

Requirements

• 5+ years of hands-on ETL/data engineering experience

• Strong SQL skills and database/integration workflow experience

• Commercial Python experience for data processing and scripting

• Experience designing and maintaining data pipelines across multiple sources/destinations

• Ability to understand complex data flows and logical workflows

• Advanced English skills (spoken and written)

• Experience collaborating with developers and business stakeholders in an international environment

• High attention to detail; strong commitment to data accuracy and reliability

Benefits

• Collaborative environment supporting growth

• Opportunity to contribute to a banking platform with frequent, event-based and scheduled data flows (every 10 minutes to monthly)